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Interval, dynamics sampling

Wendlandt (45) used a microscopic method for the determination of the reflectance of the sample. The apparatus, as shown in Figure 9.28, consisted of a low-power (100 x, generally) reflection-type microscope, A, which is illuminated by means of a monochromator, B. The reflected radiation is detected by a photomultiplier tube, C, and amplifier, D, and recorded on either an X-Y recorder, E, or a strip-chart recorder, F. In order to heat the sample to 250°C, a Mettler Model FP-2 hot stage, G, is employed. Either isothermal ( 1CC) or dynamic sample temperatures may be attained by this device. The sample is moved through the illuminated optical field by means of the reversible motor, H. The motor is reversed at preset intervals by a relay circuit and timer, J. Thus, it is possible to scan the reflectance from the sample, which may consist of a single crystal or a powdered mixture. Powdered samples may be placed directly on the heated microscope slide or... [Pg.593]

Figure 13 UV-Vis spectra of 28 in 30% v/v DMSO/water, monitored at 12 min intervals after sample preparation showing the dynamic conversion of aggregated form with spectrum (a) to the aggregated form with spectrum (g). (From Ref. 74.)... Figure 13 UV-Vis spectra of 28 in 30% v/v DMSO/water, monitored at 12 min intervals after sample preparation showing the dynamic conversion of aggregated form with spectrum (a) to the aggregated form with spectrum (g). (From Ref. 74.)...
Paulic-Paulic-Erdei Q-1500 ) derivatograph was used during studies of the thermal stability of synthesized samples. Measurements were carried out in the 20-900°C temperature interval (dynamic mode with a heating speed of 10°K min ) in an air atmosphere and with use of corundum pots. The sample s weight was 200 mg, reference substance -Aip. ... [Pg.180]

Equation 8.19 can be used for analysis of both steady-state and dynamic optimization problems. In time-varying processes, actual implementation of optimum operation policies requires discretization of the dynamic trajectories [ 165]. In these cases, the vectors of state variables, end-use properties and manipulated variables include the set of discretized values along the whole dynamic trajectory. This means, for example, that NX equals the number of state variables multiplied by the number of discretized intervals (or sampling intervals). Finally, it must be clear that some of the weighting values can be equal to zero, which means that some of the available data may not be relevant for operation of the analyzed polymerization problem. [Pg.342]

One of the most important considerations in using molecular dynamics for a conformational search is determining the sampling interval. HyperChem lets you sample the simulation in two ways ... [Pg.80]

Dynamical Entropy In order to capture the dynamics of a CML pattern, Kaneko has constructed what amounts to it mutual information between two successive patterns at a given time interval [kaneko93]. It is defined by first obtaining an estimate, through spatio-temporal samplings, of the probability transition matrix Td,d = transition horn domain of size D to a domain of size D. The dynamical entropy, Sd, is then given by... [Pg.396]

In many respects the time-resolved pump-probe technique is similar to the CW counterpart. The use of pulsed laser light permits direct probing of both the magnitude of the PA and its dynamics. The experimental arrangement is practically the same as for the CW version, i.e., both pump and probe beams are focused and overlapped onto same spot on a sample. In addition, the pump and probe pulses are synchronized so that the lime interval t between them is constant and confined to a certain time range (in our case up to 3 ns). [Pg.111]

Assume that we bin the interval of interest for and that we have collected nk (N ) samples in bin k after N steps in a molecular dynamics simulation. We use those samples to compute a running average of the force acting along ... [Pg.142]

Fig. 6.10. Comparison of overlap sampling and FEP calculation results for the free energy change along the mutation of an adenosine in aqueous solution (between A = 0.05 and 0.45) in a molecular dynamics simulation. The results represent the average behavior of 14 independent runs. (MD time step.) The sampling interval is 0.75 ps. The upper half of the plot presents the standard deviation of the mean (with gives statistical error) for AA as a function of sample size N the lower half of the plot gives the estimate of A A - for comparison of the accuracy, the correct value of AA is indicated by the bold horizontal line... Fig. 6.10. Comparison of overlap sampling and FEP calculation results for the free energy change along the mutation of an adenosine in aqueous solution (between A = 0.05 and 0.45) in a molecular dynamics simulation. The results represent the average behavior of 14 independent runs. (MD time step.) The sampling interval is 0.75 ps. The upper half of the plot presents the standard deviation of the mean (with gives statistical error) for AA as a function of sample size N the lower half of the plot gives the estimate of A A - for comparison of the accuracy, the correct value of AA is indicated by the bold horizontal line...
Figure 13 Dynamics of ASC in the blood plasma of neurosurgical patients. Conditions of blood taking referring to the sample number 0, 1 day before operation 1, before the first cut 2 and 3, during the operation, in 30-40-min intervals 4, at the end of the operation 5, the next day 6, at discharge from the hospital. Mean values from n = 14 in the group without complications (circles) and n = 6 in the group with brain edema (squares), p < 0.05 for 1st and 3rd samples, and p < 0.01 for 2nd sample. (From Ref. 33.)... Figure 13 Dynamics of ASC in the blood plasma of neurosurgical patients. Conditions of blood taking referring to the sample number 0, 1 day before operation 1, before the first cut 2 and 3, during the operation, in 30-40-min intervals 4, at the end of the operation 5, the next day 6, at discharge from the hospital. Mean values from n = 14 in the group without complications (circles) and n = 6 in the group with brain edema (squares), p < 0.05 for 1st and 3rd samples, and p < 0.01 for 2nd sample. (From Ref. 33.)...

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Sample dynamic

Sampling interval

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